Literature DB >> 23906998

Factorial structure of the Brief Symptom Inventory (BSI)-18 among Chinese drug users.

Jichuan Wang1, Brian C Kelly, Tieqiao Liu, Guanbai Zhang, Wei Hao.   

Abstract

BACKGROUND: Although the Brief Symptom Inventory-18 (BSI-18) has been widely used for mental health screenings in both clinical and non-clinical populations, the validation of its application to Chinese populations has been very limited. The objective of this research is to assess the factorial structure of the BSI-18 within a Chinese drug using population. METHODS AND
RESULTS: A total sample of 303 drug users recruited via Respondent Driven Sampling (RDS) from Changsha, China was used for the study. Our results show: (1) The BSI-18 item scores are highly skewed; (2) With dichotomous items measures (1 - problem at least moderately caused respondent discomfort during the past week; 0 - otherwise), our findings support the designed 3 - factor solution of the BSI-18 (somatization, depression, and anxiety); (3) The BSI-18 has a hierarchical factorial structure with 3 first-order factors and an underlying second-order factor (general psychological distress); (4) Tentative support should also be given to a single dimension of general psychological distress in Chinese drug using populations. Our study recommends a useful alternative approach for evaluating the factorial structure of the BSI-18 - i.e. CFA with dichotomous item measures. Both the total BSI-18 score and the three subscales (SOM, DEP, and ANX) can be used in applications of the BSI-18.
CONCLUSION: Overall, our findings suggest the BSI-18 is useful with Chinese drug users, and shows potential for use with non-Western and substance using populations more generally.
Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  BSI-18; China; Confirmatory factor analysis; Drug users; Psychological distress

Mesh:

Year:  2013        PMID: 23906998      PMCID: PMC3818478          DOI: 10.1016/j.drugalcdep.2013.06.017

Source DB:  PubMed          Journal:  Drug Alcohol Depend        ISSN: 0376-8716            Impact factor:   4.492


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